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208.java
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64 lines (59 loc) · 1.88 KB
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// 208. Implement Trie (Prefix Tree)
// https://leetcode.com/problems/implement-trie-prefix-tree/
class Trie {
class Node{
boolean isWord = false;
char val;
Node[] child = new Node[26];
Node() {}
Node(char c) {
this.val = c;
}
}
private static final int A = 97; // lowercase a in ascii decimal val
Node root;
/** Initialize your data structure here. */
public Trie() {
root = new Node();
}
/** Inserts a word into the trie. */
public void insert(String word) {
Node it = this.root;
for(int i = 0 ; i < word.length(); i++){
int lower = (int)Character.toLowerCase(word.charAt(i));
if (it.child[lower - A] == null) {
it.child[lower-A] = new Node((char)lower);
}
it = it.child[lower-A];
}
it.isWord = true;
}
private Node findNode(String word) {
Node it = this.root;
for(int i = 0; i < word.length(); i++) {
int lower = (int) Character.toLowerCase(word.charAt(i));
if (it.child[lower-A] == null) {
return null;
}
it = it.child[lower-A];
}
return it;
}
/** Returns if the word is in the trie. */
public boolean search(String word) {
Node node = findNode(word);
return node == null ? false : node.isWord;
}
/** Returns if there is any word in the trie that starts with the given prefix. */
public boolean startsWith(String prefix) {
Node node = findNode(prefix);
return node != null;
}
}
/**
* Your Trie object will be instantiated and called as such:
* Trie obj = new Trie();
* obj.insert(word);
* boolean param_2 = obj.search(word);
* boolean param_3 = obj.startsWith(prefix);
*/